连续振动流体床干燥机的干燥能力 - 统计和机械模型开发
Håkan Wikström1, Luis Martin de Juan2, Johan Remmelgas3
1Early Product Development and Manufacturing, Pharmaceutical Sciences, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.
International journal of pharmaceutics
|September 5, 2023
概括
通过研究过程参数,如空气温度和振动加速,优化了流体床干燥器的性能. 加速显著影响颗粒水分,使得更快,更准确的预测,加强控制策略.
科学领域:
- 化学工程是化学工程的重要组成部分.
- 制药技术 制药技术 制药技术
背景情况:
- 药品的连续制造工艺需要精确控制干燥操作.
- 液床干燥是颗粒水分减少的关键单元操作.
研究的目的:
- 为了研究连续振动流体床干燥机的干燥能力.
- 确定影响颗粒水分含量的关键工艺参数.
- 开发干燥过程的预测模型.
主要方法:
- 实验设计 (DOE) 用于研究微晶纤维素含量,水量,空气温度,空气流速和流体床加速.
- 无线传感器用于测量温度和湿度配置文件.
- 制定了经验和机械模型.
主要成果:
- 流体床加速被确定为影响颗粒水分含量的最有影响的参数.
- 一个经验模型提供了快速而准确的水分含量预测.
- 一个机械模型预测了干燥机内的温度和湿度概况.
结论:
- 开发的模型可以增强控制策略,优化连续干燥过程.
- 机械模型有助于定义特定干燥能力的设备设计要求.
- 了解这些参数对于综合连续制药制造至关重要.
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